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README.md
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@@ -22,10 +22,27 @@ This repo contains GGUF format model files for [malhajar's Mistral 7B Instruct v
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- **Language(s) (NLP):** Turkish
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- **Finetuned from model:** [`mistralai/Mistral-7B-Instruct-v0.2`](https://huggingface.co/mistralai/Mistral-7B-Instruct-v0.2)
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## Prompt Template
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```
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### Instruction:
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<prompt> (without the <>)
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### Response:
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```
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-
<!-- description end -->
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- **Language(s) (NLP):** Turkish
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- **Finetuned from model:** [`mistralai/Mistral-7B-Instruct-v0.2`](https://huggingface.co/mistralai/Mistral-7B-Instruct-v0.2)
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# Quantization methods
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| quantization method | bits | size | use case | recommended |
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|---------------------|------|----------|-----------------------------------------------------|-------------|
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| Q2_K | 2 | 2.72 GB | smallest, significant quality loss | ❌ |
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| Q3_K_S | 3 | 3.16 GB | very small, high quality loss | ❌ |
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| Q3_K_M | 3 | 3.52 GB | very small, high quality loss | ❌ |
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| Q3_K_L | 3 | 3.82 GB | small, substantial quality loss | ❌ |
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| Q4_0 | 4 | 4.11 GB | legacy; small, very high quality loss | ❌ |
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| Q4_K_S | 4 | 4.14 GB | small, greater quality loss | ❌ |
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| Q4_K_M | 4 | 4.37 GB | medium, balanced quality | ✅ |
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| Q5_0 | 5 | 5.00 GB | legacy; medium, balanced quality | ❌ |
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| Q5_K_S | 5 | 5.00 GB | large, low quality loss | ✅ |
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| Q5_K_M | 5 | 5.13 GB | large, very low quality loss | ✅ |
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| Q6_K | 6 | 5.94 GB | very large, extremely low quality loss | ❌ |
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| Q8_0 | 8 | 7.70 GB | very large, extremely low quality loss | ❌ |
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| FP16 | 16 | 14.5 GB | enormous, minuscule quality loss | ❌ |
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## Prompt Template
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```
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### Instruction:
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<prompt> (without the <>)
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### Response:
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```
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<!-- description end -->
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